This repository contains a project that allows users to analyze PDF files by extracting text from them and performing question-answering tasks
-
Updated
Sep 4, 2023 - Python
#
pdf-query
Here are 7 public repositories matching this topic...
Local semantic sentence embedding Reader-Answerer model for Retrieval Augmented Generation (RAG) of cited question answering from .pdf, .md, & .docx files using small language models.
chatbot embeddings knowledge-base semantic-search reader-writer rag pdf-questions pdf-query llm-inference retrieval-augmented-generation small-llm
-
Updated
Sep 20, 2024 - Python
A comprehensive analysis and comparison of three AI-powered chatbot solutions for answering technical questions related to car manuals in PDF format.
-
Updated
May 30, 2023 - TypeScript
KnowYourRights uses AI and NLP to make the Indian Constitution accessible by answering legal questions through a user-friendly app. It’s a powerful tool for anyone looking to understand their legal rights.
python nlp api-gateway transformer cassandra-database vector-database astradb llms langchain pdf-query
-
Updated
Aug 29, 2024 - Jupyter Notebook
QueryPDF is a full-stack application designed to facilitate PDF document analysis through natural language processing. Users can upload PDF documents, ask questions about their content, and receive generated answers.
nlp natural-language-processing reactjs fastapi langchain pdf-query genai local-gpt genai-chatbot gemini-pro
-
Updated
Sep 19, 2024 - JavaScript
Improve this page
Add a description, image, and links to the pdf-query topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the pdf-query topic, visit your repo's landing page and select "manage topics."